{"id":"https://openalex.org/W4399801011","doi":"https://doi.org/10.1109/tgrs.2024.3416459","title":"Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering","display_name":"Dual Graph Learning Affinity Propagation for Multimodal Remote Sensing Image Clustering","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399801011","doi":"https://doi.org/10.1109/tgrs.2024.3416459"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3416459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3416459","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038549098","display_name":"Yongshan Zhang","orcid":"https://orcid.org/0000-0001-5817-1732"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongshan Zhang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-5817-1732","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027049622","display_name":"Shuaikang Yan","orcid":"https://orcid.org/0009-0001-0276-6670"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuaikang Yan","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0001-0276-6670","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078539725","display_name":"Xinwei Jiang","orcid":"https://orcid.org/0000-0001-6783-2176"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwei Jiang","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-6783-2176","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024278302","display_name":"Lefei Zhang","orcid":"https://orcid.org/0000-0003-0542-2280"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lefei Zhang","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0542-2280","affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038861185","display_name":"Zhihua Cai","orcid":"https://orcid.org/0000-0003-0020-6503"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihua Cai","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-0020-6503","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362041","display_name":"Jun Li","orcid":"https://orcid.org/0000-0003-1613-9448"},"institutions":[{"id":"https://openalex.org/I3124059619","display_name":"China University of Geosciences","ror":"https://ror.org/04gcegc37","country_code":"CN","type":"education","lineage":["https://openalex.org/I3124059619"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Li","raw_affiliation_strings":["School of Computer Science, China University of Geosciences, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0003-1613-9448","affiliations":[{"raw_affiliation_string":"School of Computer Science, China University of Geosciences, Wuhan, China","institution_ids":["https://openalex.org/I3124059619"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9296,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.92468912,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.942799985408783,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.902999997138977,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.715469241142273},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6308499574661255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5065752267837524},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4592682123184204},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.44363972544670105},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4290861487388611},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41100791096687317},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37667620182037354},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18685373663902283},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15872737765312195}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.715469241142273},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6308499574661255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5065752267837524},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4592682123184204},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.44363972544670105},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4290861487388611},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41100791096687317},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37667620182037354},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18685373663902283},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15872737765312195},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3416459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3416459","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7304422909","display_name":null,"funder_award_id":"62106241","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W2393816671","https://openalex.org/W2158836806","https://openalex.org/W2083665254","https://openalex.org/W1926736923","https://openalex.org/W2942177010"],"abstract_inverted_index":{"Multimodal":[0],"remote":[1,77,196],"sensing":[2,78,197],"image":[3,79],"recognition":[4,31,45],"aims":[5],"to":[6,43,50,149,156,168,178],"identify":[7],"a":[8,33,67,180],"category":[9],"of":[10,207],"land":[11,29],"cover":[12,30],"for":[13,59,75,193],"every":[14],"pixel":[15],"with":[16,36,112,132,185],"consistency":[17],"and":[18,55,103,136,218],"complementary":[19],"information":[20],"provided":[21],"by":[22,106],"different":[23,109,130],"modalities.":[24],"Most":[25],"existing":[26],"methods":[27,214],"perform":[28,44],"in":[32,129,215],"supervised":[34],"manner":[35],"explicit":[37],"label":[38,47],"guidance.":[39],"It":[40],"is":[41,123,166,174,222],"challenging":[42],"without":[46,159],"guidance":[48],"due":[49],"the":[51,83,90,126,153,157,170,175,205,208,212],"complex":[52],"spatial":[53,85],"distribution":[54,86],"modality":[56],"incompatibility,":[57],"especially":[58],"large-scale":[60,194],"data.":[61,198],"In":[62],"this":[63],"article,":[64],"we":[65],"propose":[66,179],"dual":[68],"graph":[69,98,122],"learning":[70],"affinity":[71,150],"propagation":[72,151],"(DGLAP)":[73],"method":[74,92,184,210],"multimodal":[76,195],"clustering.":[80],"Based":[81],"on":[82,201],"consistent":[84],"from":[87,99,125,152],"local":[88],"regions,":[89],"proposed":[91,171,209],"learns":[93],"an$N":[94],"\\times":[95,118],"M$consensus":[96],"anchor":[97,121],"N":[100],"denoised":[101],"pixels":[102,158],"M":[104],"anchors":[105,128,155],"adaptive":[107,134],"weighting":[108],"modalities":[110,131],"along":[111],"projection":[113],"learning.":[114],"Meanwhile,":[115],"an":[116],"optimal$M":[117],"M$compressed":[119],"consensus":[120],"learned":[124],"updated":[127],"diverse":[133],"contributions":[135],"connectivity":[137],"constraint.":[138],"Since$M":[139],"\\ll":[140],"N$,":[141],"clustering":[142,183],"results":[143],"can":[144],"be":[145],"efficiently":[146],"obtained":[147],"according":[148],"pseudolabeled":[154],"additional":[160],"steps.":[161],"An":[162],"alternating":[163],"optimization":[164],"algorithm":[165],"devised":[167],"solve":[169],"formulation.":[172],"This":[173],"first":[176],"attempt":[177],"ultraefficient":[181],"graph-based":[182],"linear":[186],"time":[187,191],"complexity$\\mathcal":[188],"{O}(N)$and":[189],"low":[190],"cost":[192],"Extensive":[199],"experiments":[200],"three":[202],"datasets":[203],"demonstrate":[204],"superiority":[206],"over":[211],"state-of-the-art":[213],"both":[216],"efficacy":[217],"efficiency.":[219],"The":[220],"code":[221],"released":[223],"athttps://github.com/ZhangYongshan/DGLAP.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":4}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
